Research On Image Transmission And Encryption Model Based On Compressed Sensing

With the rapid development of the internet of things technology,communication technology and cloud computing technology,application scenarios such as intelligent transportation,smart home,and environmental monitoring have gradually matured.In these application scenarios,digital images play a very important role as the main information carrier.The application of these new technologies has greatly facilitated people's lives,but also brought many problems.The wireless sensor nodes in the internet of things are restricted by physical factors,resulting in weak computing power and endurance capacity,and wireless communication methods are extremely vulnerable to information theft.Therefore,it is of great significance to ensure the safe and efficient transmission of image information in new application scenarios.Aiming at the demand for efficient transmission of images,a new model of P-tensor compressed sensing is proposed by combining compressed sensing technology and P-tensor product theory.Aiming at the requirements for the secure transmission of image information,an efficient image encryption algorithm is proposed by combining DNA encoding operation and chaotic system.Finally,this paper combines the proposed model of P-tensor compressed sensing with an efficient image encryption algorithm based on DNA coding operation and chaotic system for wireless sensor networks.This paper conducts deep research on how to safely and efficiently transmit image information.The main research results and innovations are given as follows:(1)We propose a new model of P-tensor compressed sensing.On the basis of P-tensor compressed sensing,an auxiliary matrix is introduced and the both are combined in a linear combination.The new model breaks the limitation of matrix multiplication dimension matching,reduces resource consumption,and further improves security.At the same time,the parallel reconstruction is used to reduce the image reconstruction time.The reconstruction error,recovery effect and safety of the model are analyzed through theory and experiment.(2)We propose an efficient image encryption algorithm based on DNA coding operation and chaotic system.The combination of hyperchaotic system and DNA coding operation increases the strength of image encryption.Image block encryption is adopted to reduce the time of encryption and decryption.The experiment proves the efficiency and high security of the proposed algorithm.(3)A new model of P-tensor compressed sensing combined with image encryption algorithm based on DNA coding operation is applied to image transmission in wireless sensor networks.P-tensor compressed sensing breaks the dimensional matching limitation of matrix multiplication,reduces resource usage,and reduces the time consumed in the transmission process;image encryption algorithm based on DNA encoding operation enhances the security of image transmission;through the quantization operation,the above two processes are well combined.The experimental analysis shows that the corresponding program has the characteristics of efficient use of resources,low time consumption and high security.